We observe that our Flashlight significantly accelerate the inference speed of LP models GraphSAGE [1]}, GCN [2]}, and PLNLP [3]} with the HadamardMLP decoders by more than 100 times.
This gap will be even larger for the datasets of larger scales, because the inference with our Flashlight holds the logarithmic time complexity while the HadamardMLP decoders holds the linear complexity.
Note that the y-axis is in logoratimic scale.
The subgraph based methods SUREL [4]} and SEAL [5]} hold the inference speed of throuputs lower than 1\(\times 10^{-2}\)  and 1\(\times 10^{-3}\)  respectively, which is not applicable to the practical services that require the low latency of milliseconds.
